MAT-10057 - Module Specification
School of Computer Science and Mathematics
Faculty of Natural Sciences

Programme/Approved Electives for 2024/25

Available as a Free Standing Elective

Co-requisites

None

Prerequisites

None.

Barred Combinations

None.

Description for 2024/25

The first part of this module is an introduction to probability. This is the Mathematical language for studying chance and uncertainty, and allows us to predict the outcomes of certain experiments providing we know enough about their design.
The remainder of the module provides an introduction to statistics, in which we study samples of data from the outcomes of experiments and seek to uncover the underlying patterns or properties.
The module develops transferable skills through modelling, problem solving, and presentations of findings.

This module introduces students to the fundamental mathematical language and concepts used in the study of chance and uncertainty, and in the analysis, interpretation, and presentation of data. This lays the foundations for subsequent modules in these areas, and their applications in other areas of the natural and social sciences.

Intended Learning Outcomes

model simple experiments using probability theory and perform standard probability calculations, including working with conditional probabilities;: 1
recall, select, and apply appropriate standard methods to summarise data;
: 2
differentiate between common types of data, and display them appropriately;: 2
apply simple formal statistical techniques and interpret the results.: 2

Study hours

40 Scheduled teaching hours comprises 20 hours lectures and 20 hours exercise classes / case study examples.
110 hours independent study, comprises 20 hours preparation for, and completion of, online exercises, 60 hours consolidation of lecture material, 30 hours preparation for, and completion of, the final assessment.

School Rules

None

Description of Module Assessment